Using web-intelligence for excavating the emerging meaning of target-concepts

Yair Neuman, Gabi Kedma, Yohai Cohen, Ophir Nave

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Representing meaning is a major challenge facing Web 3.0. However, it is extremely difficult to excavate the meaning of a target concept from textual data as there is no one-to-one correspondence between the textual unit in which the target concept is embedded and the conceptual content that we would like to excavate. In this paper, we propose one possible approach for addressing this challenge, by harvesting the Web for metaphorical relations in which the target concept is an argument. In this paper, we present several preliminary results of "Pedesis" - a novel automated system for excavating the meaning of target concepts - and plan to present at the oral presentation an application of this methodology for identifying depression in free text.

Original languageEnglish
Title of host publication2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
Pages22-25
Number of pages4
DOIs
StatePublished - 13 Dec 2010
Event2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010 - Toronto, ON, Canada
Duration: 31 Aug 20103 Sep 2010

Publication series

NameProceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
Volume1

Conference

Conference2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
Country/TerritoryCanada
CityToronto, ON
Period31/08/103/09/10

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software

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